A survey on underwater computer vision
SP González-Sabbagh, A Robles-Kelly - ACM Computing Surveys, 2023 - dl.acm.org
Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …
Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review
Underwater marine object detection, as one of the most fundamental techniques in the
community of marine science and engineering, has been shown to exhibit tremendous …
community of marine science and engineering, has been shown to exhibit tremendous …
Beyond single reference for training: Underwater image enhancement via comparative learning
K Li, L Wu, Q Qi, W Liu, X Gao, L Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the wavelength-dependent light absorption and scattering, the raw underwater
images are usually inevitably degraded. Underwater image enhancement (UIE) is of great …
images are usually inevitably degraded. Underwater image enhancement (UIE) is of great …
Shallow-uwnet: Compressed model for underwater image enhancement (student abstract)
Over the past few decades, underwater image enhancement has attracted an increasing
amount of research effort due to its significance in underwater robotics and ocean …
amount of research effort due to its significance in underwater robotics and ocean …
Hierarchical attention aggregation with multi-resolution feature learning for GAN-based underwater image enhancement
In recent years, underwater image enhancement and restoration technologies have become
increasingly important in order to optimize the efficiency of maritime operations and promote …
increasingly important in order to optimize the efficiency of maritime operations and promote …
Representative color transform for image enhancement
Recently, the encoder-decoder and intensity transformation approaches lead to impressive
progress in image enhancement. However, the encoder-decoder often loses details in input …
progress in image enhancement. However, the encoder-decoder often loses details in input …
Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators
Due to the light absorption and scattering induced by the water medium, underwater images
usually suffer from some degradation problems, such as low contrast, color distortion, and …
usually suffer from some degradation problems, such as low contrast, color distortion, and …
Semantic segmentation of underwater imagery: Dataset and benchmark
In this paper, we present the first large-scale dataset for semantic Segmentation of
Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight …
Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight …
Reinforced swin-convs transformer for simultaneous underwater sensing scene image enhancement and super-resolution
Underwater image enhancement (UIE) technology aims to tackle the challenge of restoring
the degraded underwater images due to light absorption and scattering. Meanwhile, the …
the degraded underwater images due to light absorption and scattering. Meanwhile, the …
Wavelength-based attributed deep neural network for underwater image restoration
Background: Underwater images, in general, suffer from low contrast and high color
distortions due to the non-uniform attenuation of the light as it propagates through the water …
distortions due to the non-uniform attenuation of the light as it propagates through the water …